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Machine Learning Engineer – GenAI (f / m / d)

Machine Learning Engineer – GenAI (f / m / d)

Tomorrow ThingsNorth Rhine-Westphalia, Germany, Germany
Vor 12 Tagen
Stellenbeschreibung

About Tomorrow Things

At Tomorrow Things, we’re building intelligent infrastructure for industrial support. Our Remote Support Platform uses AI agents, real-time telemetry, and continuous learning to minimize downtime and maximize efficiency for machine operators. We're looking for a Data Scientist / ML Engineer to take this to the next level by driving predictive intelligence, agent learning, and real-time diagnostics.

Your Role

As a Data Scientist / Machine Learning Engineer — GenAI, you’ll design, develop, and deploy models that enable smarter, faster support — from AI agent optimization to predictive maintenance and multilingual NLP.

What You’ll Do

  • Develop and refine AI agent models using historical support data and technician feedback
  • Build real-time anomaly detection and diagnostics systems using machine telemetry
  • Design and maintain supervised and reinforcement learning loops for support automation
  • Collaborate with engineering and product teams to integrate models into production
  • Analyze support outcomes, SLA metrics, and satisfaction scores to improve support quality
  • Contribute to Things OS data pipelines and the broader AI / ML platform strategy

What You Bring

  • 3+ years in data science or ML engineering roles, ideally in IoT, SaaS, or support platforms
  • Solid Python and ML libraries experience (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience with NLP (preferably multilingual) and time series modeling
  • Familiarity with edge / cloud connectivity systems and industrial data is a plus
  • Strong communication skills and product-oriented mindset

    • Why Join Tomorrow Things?

  • Apply machine learning to real-world industrial problems
  • High impact role in a growing AI-focused team
  • Fully remote, flexible work culture with hybrid options in Bonn
  • Competitive compensation including stock options
  • Work with diverse data, from language to telemetry, and shape future capabilities

    • Ready to shape the digital factory of the future? Apply directly via LinkedIn.

    Let’s build tomorrow’s factories, today.

    Jobalert für diese Suche erstellen

    Machine Learning Engineer • North Rhine-Westphalia, Germany, Germany